package com.hkbigdata.transform;

import com.hkbigdata.bean.WaterSensor;
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;

import java.util.Arrays;
import java.util.List;

/**
 * @author liuanbo
 * @creat 2024-04-12-10:56
 * @see 2194550857@qq.com
 */
public class Flink09_TransForm_Reduce_Anonymous {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);


        List<WaterSensor> waterSensors = Arrays.asList(
                new WaterSensor("ws_001", 1607527992000L, 20.0),
                new WaterSensor("ws_001", 1607527992001L, 22.2),
                new WaterSensor("ws_001", 1607527992002L, 33.0),
                new WaterSensor("ws_002", 1607527992003L, 44.0),
                new WaterSensor("ws_002", 1607527992004L, 22.0),
                new WaterSensor("ws_002", 1607527992001L, 50.0)
        );

        env.fromCollection(waterSensors)
                .keyBy(WaterSensor::getId)
/*
                .reduce(new ReduceFunction<WaterSensor>() {
                    @Override
                    public WaterSensor reduce(WaterSensor value1, WaterSensor value2) throws Exception {
                        return new WaterSensor(value1.getId(), value1.getTs(), value1.getVc() + value2.getVc());
                    }
                }).print();
*/
            .reduce((value1,value2)->{
                return new WaterSensor(value1.getId(),value1.getTs(),value1.getVc()+value2.getVc());
            }).print();

        env.execute();


    }
}
